Overview

Dataset statistics

Number of variables15
Number of observations68629
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.4 MiB
Average record size in memory128.0 B

Variable types

Numeric15

Alerts

std_ask_price1 is highly overall correlated with std_ask_price2 and 5 other fieldsHigh correlation
std_ask_price2 is highly overall correlated with std_ask_price1 and 5 other fieldsHigh correlation
std_ask_size1 is highly overall correlated with std_ask_size2 and 6 other fieldsHigh correlation
std_ask_size2 is highly overall correlated with std_ask_size1 and 6 other fieldsHigh correlation
std_bid_ask_1 is highly overall correlated with std_ask_size1 and 9 other fieldsHigh correlation
std_bid_ask_2 is highly overall correlated with std_ask_size1 and 9 other fieldsHigh correlation
std_bid_price1 is highly overall correlated with std_ask_price1 and 5 other fieldsHigh correlation
std_bid_price2 is highly overall correlated with std_ask_price1 and 5 other fieldsHigh correlation
std_bid_size1 is highly overall correlated with std_ask_size1 and 6 other fieldsHigh correlation
std_bid_size2 is highly overall correlated with std_ask_size1 and 6 other fieldsHigh correlation
std_volume_difference is highly overall correlated with std_ask_size1 and 6 other fieldsHigh correlation
std_volume_overall is highly overall correlated with std_ask_size1 and 6 other fieldsHigh correlation
std_wap_1 is highly overall correlated with std_ask_price1 and 7 other fieldsHigh correlation
std_wap_2 is highly overall correlated with std_ask_price1 and 7 other fieldsHigh correlation
target_value is highly overall correlated with std_ask_price1 and 7 other fieldsHigh correlation
std_bid_size1 is highly skewed (γ1 = 26.54459539)Skewed
std_bid_size2 is highly skewed (γ1 = 42.71882262)Skewed
std_ask_size2 is highly skewed (γ1 = 28.0567398)Skewed
std_volume_overall is highly skewed (γ1 = 24.50452824)Skewed
std_bid_size1 has unique valuesUnique
std_ask_size1 has unique valuesUnique
std_bid_size2 has unique valuesUnique
std_ask_size2 has unique valuesUnique
std_wap_1 has unique valuesUnique
std_wap_2 has unique valuesUnique
std_volume_overall has unique valuesUnique
std_volume_difference has unique valuesUnique

Reproduction

Analysis started2024-07-01 19:01:18.638844
Analysis finished2024-07-01 19:01:49.111560
Duration30.47 seconds
Software versionydata-profiling v4.8.3
Download configurationconfig.json

Variables

target_value
Real number (ℝ)

HIGH CORRELATION 

Distinct68228
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0038878538
Minimum0.000112782
Maximum0.051954939
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2024-07-01T15:01:49.204133image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.000112782
5-th percentile0.0011688978
Q10.002030894
median0.003060147
Q30.004733416
95-th percentile0.0094920512
Maximum0.051954939
Range0.051842157
Interquartile range (IQR)0.002702522

Descriptive statistics

Standard deviation0.0029421081
Coefficient of variation (CV)0.7567435
Kurtosis13.636917
Mean0.0038878538
Median Absolute Deviation (MAD)0.001223305
Skewness2.7721908
Sum266.81952
Variance8.6560001 × 10-6
MonotonicityNot monotonic
2024-07-01T15:01:49.357581image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.004125058 2
 
< 0.1%
0.002760894 2
 
< 0.1%
0.001727059 2
 
< 0.1%
0.004879351 2
 
< 0.1%
0.003471 2
 
< 0.1%
0.001837649 2
 
< 0.1%
0.00106919 2
 
< 0.1%
0.001689191 2
 
< 0.1%
0.003476125 2
 
< 0.1%
0.001659372 2
 
< 0.1%
Other values (68218) 68609
> 99.9%
ValueCountFrequency (%)
0.000112782 1
< 0.1%
0.000145461 1
< 0.1%
0.000244148 1
< 0.1%
0.000276828 1
< 0.1%
0.00027703 1
< 0.1%
0.000289663 1
< 0.1%
0.000309087 1
< 0.1%
0.00031157 1
< 0.1%
0.000311773 1
< 0.1%
0.000312335 1
< 0.1%
ValueCountFrequency (%)
0.051954939 1
< 0.1%
0.04473676 1
< 0.1%
0.043173945 1
< 0.1%
0.042814297 1
< 0.1%
0.038972343 1
< 0.1%
0.038377884 1
< 0.1%
0.035858885 1
< 0.1%
0.035500722 1
< 0.1%
0.034833812 1
< 0.1%
0.033972923 1
< 0.1%

std_bid_price1
Real number (ℝ)

HIGH CORRELATION 

Distinct68537
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0010954178
Minimum3.5803038 × 10-7
Maximum0.027162155
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2024-07-01T15:01:49.504530image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum3.5803038 × 10-7
5-th percentile0.00026325905
Q10.0004901067
median0.00078666268
Q30.0013194964
95-th percentile0.0029043275
Maximum0.027162155
Range0.027161797
Interquartile range (IQR)0.00082938973

Descriptive statistics

Standard deviation0.0010758926
Coefficient of variation (CV)0.98217556
Kurtosis44.137169
Mean0.0010954178
Median Absolute Deviation (MAD)0.00035860727
Skewness4.6826794
Sum75.177427
Variance1.1575448 × 10-6
MonotonicityNot monotonic
2024-07-01T15:01:49.663706image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0005278271274 2
 
< 0.1%
0.000809856283 2
 
< 0.1%
0.000803209201 2
 
< 0.1%
0.0004005745868 2
 
< 0.1%
0.0007359136944 2
 
< 0.1%
0.001344315358 2
 
< 0.1%
0.0009509770316 2
 
< 0.1%
0.0003682917159 2
 
< 0.1%
0.0004920772626 2
 
< 0.1%
0.0005078875693 2
 
< 0.1%
Other values (68527) 68609
> 99.9%
ValueCountFrequency (%)
3.580303769 × 10-71
< 0.1%
9.551404219 × 10-71
< 0.1%
1.074658485 × 10-61
< 0.1%
1.432502359 × 10-61
< 0.1%
1.791435466 × 10-61
< 0.1%
1.969473487 × 10-61
< 0.1%
2.030689529 × 10-61
< 0.1%
2.207503712 × 10-61
< 0.1%
2.624879926 × 10-61
< 0.1%
2.626369678 × 10-61
< 0.1%
ValueCountFrequency (%)
0.02716215514 1
< 0.1%
0.0214845892 1
< 0.1%
0.02140177973 1
< 0.1%
0.02093260363 1
< 0.1%
0.0202495791 1
< 0.1%
0.01996443234 1
< 0.1%
0.01962027885 1
< 0.1%
0.01942217723 1
< 0.1%
0.01805744879 1
< 0.1%
0.01759440452 1
< 0.1%

std_ask_price1
Real number (ℝ)

HIGH CORRELATION 

Distinct68535
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0010941575
Minimum1.7901519 × 10-7
Maximum0.026421048
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2024-07-01T15:01:49.816577image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1.7901519 × 10-7
5-th percentile0.00026341825
Q10.00048886501
median0.00078511564
Q30.001319365
95-th percentile0.0028933378
Maximum0.026421048
Range0.026420869
Interquartile range (IQR)0.00083049998

Descriptive statistics

Standard deviation0.0010759208
Coefficient of variation (CV)0.98333264
Kurtosis44.169077
Mean0.0010941575
Median Absolute Deviation (MAD)0.00035800703
Skewness4.6989083
Sum75.090936
Variance1.1576056 × 10-6
MonotonicityNot monotonic
2024-07-01T15:01:49.977671image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0006254485343 2
 
< 0.1%
0.001152852084 2
 
< 0.1%
0.0002684496867 2
 
< 0.1%
0.0006054886035 2
 
< 0.1%
0.0007929510321 2
 
< 0.1%
0.00122764369 2
 
< 0.1%
0.0005468131276 2
 
< 0.1%
0.0008865424315 2
 
< 0.1%
0.0006209996645 2
 
< 0.1%
0.0007312293747 2
 
< 0.1%
Other values (68525) 68609
> 99.9%
ValueCountFrequency (%)
1.790151885 × 10-71
< 0.1%
2.386715323 × 10-71
< 0.1%
8.357478123 × 10-71
< 0.1%
9.545018429 × 10-71
< 0.1%
1.074658485 × 10-61
< 0.1%
1.551877631 × 10-61
< 0.1%
1.612291953 × 10-61
< 0.1%
1.909792445 × 10-61
< 0.1%
2.030689529 × 10-61
< 0.1%
2.147841315 × 10-61
< 0.1%
ValueCountFrequency (%)
0.02642104775 1
< 0.1%
0.0212591514 1
< 0.1%
0.02125656046 1
< 0.1%
0.02037324756 1
< 0.1%
0.01988036186 1
< 0.1%
0.01972335577 1
< 0.1%
0.01939637586 1
< 0.1%
0.01910102367 1
< 0.1%
0.01805714145 1
< 0.1%
0.01780344546 1
< 0.1%

std_bid_price2
Real number (ℝ)

HIGH CORRELATION 

Distinct68544
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0011009043
Minimum4.7737382 × 10-7
Maximum0.027248047
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2024-07-01T15:01:50.126070image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum4.7737382 × 10-7
5-th percentile0.00026492657
Q10.00049355923
median0.00079196185
Q30.0013242997
95-th percentile0.0029237799
Maximum0.027248047
Range0.02724757
Interquartile range (IQR)0.00083074049

Descriptive statistics

Standard deviation0.0010792415
Coefficient of variation (CV)0.98032278
Kurtosis43.381693
Mean0.0011009043
Median Absolute Deviation (MAD)0.00036024285
Skewness4.6510651
Sum75.553959
Variance1.1647623 × 10-6
MonotonicityNot monotonic
2024-07-01T15:01:50.275712image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.001030187472 2
 
< 0.1%
0.0008299762267 2
 
< 0.1%
0.002137567615 2
 
< 0.1%
0.0004992856411 2
 
< 0.1%
0.0006245404365 2
 
< 0.1%
0.001265733619 2
 
< 0.1%
0.0005884405109 2
 
< 0.1%
0.0005411403254 2
 
< 0.1%
0.0007792203687 2
 
< 0.1%
0.0009755536448 2
 
< 0.1%
Other values (68534) 68609
> 99.9%
ValueCountFrequency (%)
4.773738169 × 10-71
< 0.1%
4.773964974 × 10-71
< 0.1%
7.758505944 × 10-71
< 0.1%
1.074423949 × 10-61
< 0.1%
1.13387182 × 10-61
< 0.1%
1.612606411 × 10-61
< 0.1%
1.849704518 × 10-61
< 0.1%
1.910864512 × 10-61
< 0.1%
2.208441174 × 10-61
< 0.1%
2.505567181 × 10-61
< 0.1%
ValueCountFrequency (%)
0.02724804729 1
< 0.1%
0.02163075656 1
< 0.1%
0.0208738409 1
< 0.1%
0.02056820691 1
< 0.1%
0.0202103667 1
< 0.1%
0.01990069821 1
< 0.1%
0.01960076578 1
< 0.1%
0.0193698965 1
< 0.1%
0.01838189177 1
< 0.1%
0.01754342206 1
< 0.1%

std_ask_price2
Real number (ℝ)

HIGH CORRELATION 

Distinct68560
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0011004508
Minimum0
Maximum0.026434962
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2024-07-01T15:01:50.421218image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.00026520301
Q10.00049266231
median0.00079007109
Q30.0013248512
95-th percentile0.0029091589
Maximum0.026434962
Range0.026434962
Interquartile range (IQR)0.00083218887

Descriptive statistics

Standard deviation0.0010802585
Coefficient of variation (CV)0.98165081
Kurtosis43.73675
Mean0.0011004508
Median Absolute Deviation (MAD)0.00035917596
Skewness4.6811
Sum75.522841
Variance1.1669583 × 10-6
MonotonicityNot monotonic
2024-07-01T15:01:50.577643image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0005327094696 2
 
< 0.1%
0.001523549436 2
 
< 0.1%
0.001033865381 2
 
< 0.1%
0.0004865771625 2
 
< 0.1%
0.0004201923439 2
 
< 0.1%
0.000797618879 2
 
< 0.1%
0.00117662258 2
 
< 0.1%
0.0006443204475 2
 
< 0.1%
0.000527756114 2
 
< 0.1%
0.001307547791 2
 
< 0.1%
Other values (68550) 68609
> 99.9%
ValueCountFrequency (%)
0 1
< 0.1%
1.193127304 × 10-71
< 0.1%
8.355314662 × 10-71
< 0.1%
1.074423949 × 10-61
< 0.1%
1.552880235 × 10-61
< 0.1%
1.909372259 × 10-61
< 0.1%
2.26812881 × 10-61
< 0.1%
2.625645038 × 10-61
< 0.1%
2.866296882 × 10-61
< 0.1%
2.983113063 × 10-61
< 0.1%
ValueCountFrequency (%)
0.02643496171 1
< 0.1%
0.0213151928 1
< 0.1%
0.02130127326 1
< 0.1%
0.0205255989 1
< 0.1%
0.01988697238 1
< 0.1%
0.01937853359 1
< 0.1%
0.01925435476 1
< 0.1%
0.01909989864 1
< 0.1%
0.01813967526 1
< 0.1%
0.01786035113 1
< 0.1%

std_bid_size1
Real number (ℝ)

HIGH CORRELATION  SKEWED  UNIQUE 

Distinct68629
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean417.18131
Minimum1.1298654
Maximum158692.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2024-07-01T15:01:50.729302image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1.1298654
5-th percentile53.405089
Q183.549028
median119.77814
Q3211.89568
95-th percentile1033.5029
Maximum158692.46
Range158691.33
Interquartile range (IQR)128.34665

Descriptive statistics

Standard deviation2037.0492
Coefficient of variation (CV)4.882887
Kurtosis1384.1407
Mean417.18131
Median Absolute Deviation (MAD)46.254546
Skewness26.544595
Sum28630736
Variance4149569.5
MonotonicityNot monotonic
2024-07-01T15:01:50.880990image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
147.2595276 1
 
< 0.1%
137.518444 1
 
< 0.1%
80.87010944 1
 
< 0.1%
969.9891784 1
 
< 0.1%
78.88526588 1
 
< 0.1%
698.2408494 1
 
< 0.1%
83.8332766 1
 
< 0.1%
95.13274111 1
 
< 0.1%
32.07370112 1
 
< 0.1%
76.70942322 1
 
< 0.1%
Other values (68619) 68619
> 99.9%
ValueCountFrequency (%)
1.129865366 1
< 0.1%
1.421780825 1
< 0.1%
1.76995253 1
< 0.1%
1.834790368 1
< 0.1%
4.049711148 1
< 0.1%
4.184544503 1
< 0.1%
4.791100925 1
< 0.1%
4.950279608 1
< 0.1%
5.661374408 1
< 0.1%
5.721585182 1
< 0.1%
ValueCountFrequency (%)
158692.4559 1
< 0.1%
143595.1526 1
< 0.1%
132657.897 1
< 0.1%
100895.1469 1
< 0.1%
64821.13566 1
< 0.1%
62263.6898 1
< 0.1%
59924.09341 1
< 0.1%
59814.29289 1
< 0.1%
57078.13774 1
< 0.1%
52152.66554 1
< 0.1%

std_ask_size1
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct68629
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean413.64415
Minimum1.3618461
Maximum108303.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2024-07-01T15:01:51.033322image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1.3618461
5-th percentile53.097581
Q182.954027
median119.51738
Q3215.97988
95-th percentile1091.8029
Maximum108303.48
Range108302.12
Interquartile range (IQR)133.02586

Descriptive statistics

Standard deviation1720.3211
Coefficient of variation (CV)4.1589399
Kurtosis400.85138
Mean413.64415
Median Absolute Deviation (MAD)46.863729
Skewness14.685473
Sum28387984
Variance2959504.8
MonotonicityNot monotonic
2024-07-01T15:01:51.181716image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
110.6938159 1
 
< 0.1%
133.3826399 1
 
< 0.1%
110.9894309 1
 
< 0.1%
518.8230975 1
 
< 0.1%
49.08894891 1
 
< 0.1%
520.3970563 1
 
< 0.1%
82.47677217 1
 
< 0.1%
116.8059055 1
 
< 0.1%
41.31470784 1
 
< 0.1%
151.1063894 1
 
< 0.1%
Other values (68619) 68619
> 99.9%
ValueCountFrequency (%)
1.361846126 1
< 0.1%
1.50929129 1
< 0.1%
2.41438915 1
< 0.1%
3.288396456 1
< 0.1%
3.811528044 1
< 0.1%
3.910477193 1
< 0.1%
4.389881806 1
< 0.1%
5.959526613 1
< 0.1%
6.163027537 1
< 0.1%
6.408388891 1
< 0.1%
ValueCountFrequency (%)
108303.4791 1
< 0.1%
53383.98715 1
< 0.1%
52236.76034 1
< 0.1%
46718.8986 1
< 0.1%
45844.0388 1
< 0.1%
42354.01023 1
< 0.1%
42195.67053 1
< 0.1%
41190.31582 1
< 0.1%
40785.91706 1
< 0.1%
39307.5687 1
< 0.1%

std_bid_size2
Real number (ℝ)

HIGH CORRELATION  SKEWED  UNIQUE 

Distinct68629
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean396.51416
Minimum0.25619265
Maximum226671.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2024-07-01T15:01:51.322860image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0.25619265
5-th percentile49.284628
Q174.803003
median110.16675
Q3220.65972
95-th percentile1047.6074
Maximum226671.77
Range226671.51
Interquartile range (IQR)145.85672

Descriptive statistics

Standard deviation2262.8052
Coefficient of variation (CV)5.706745
Kurtosis3259.6922
Mean396.51416
Median Absolute Deviation (MAD)46.114807
Skewness42.718823
Sum27212370
Variance5120287.3
MonotonicityNot monotonic
2024-07-01T15:01:51.467378image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
134.2069901 1
 
< 0.1%
96.49113218 1
 
< 0.1%
67.90809326 1
 
< 0.1%
655.0054959 1
 
< 0.1%
69.20577012 1
 
< 0.1%
776.8573252 1
 
< 0.1%
55.10725896 1
 
< 0.1%
91.85187814 1
 
< 0.1%
33.96894054 1
 
< 0.1%
66.58790843 1
 
< 0.1%
Other values (68619) 68619
> 99.9%
ValueCountFrequency (%)
0.256192652 1
< 0.1%
0.8162250941 1
< 0.1%
0.8333142855 1
< 0.1%
1.473391241 1
< 0.1%
2.132887447 1
< 0.1%
2.686771062 1
< 0.1%
3.266500097 1
< 0.1%
3.369504064 1
< 0.1%
3.412487425 1
< 0.1%
3.434396552 1
< 0.1%
ValueCountFrequency (%)
226671.7699 1
< 0.1%
215191.2437 1
< 0.1%
157213.9806 1
< 0.1%
111768.8326 1
< 0.1%
88112.6297 1
< 0.1%
82266.06555 1
< 0.1%
72897.07708 1
< 0.1%
66433.46644 1
< 0.1%
65342.25882 1
< 0.1%
63723.17941 1
< 0.1%

std_ask_size2
Real number (ℝ)

HIGH CORRELATION  SKEWED  UNIQUE 

Distinct68629
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean395.73336
Minimum1.1141042
Maximum183044.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2024-07-01T15:01:51.604895image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum1.1141042
5-th percentile48.865255
Q174.358197
median110.21448
Q3226.09352
95-th percentile1097.8952
Maximum183044.3
Range183043.19
Interquartile range (IQR)151.73533

Descriptive statistics

Standard deviation1826.8561
Coefficient of variation (CV)4.6163815
Kurtosis1821.9165
Mean395.73336
Median Absolute Deviation (MAD)46.696908
Skewness28.05674
Sum27158785
Variance3337403.3
MonotonicityNot monotonic
2024-07-01T15:01:51.873426image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
107.1368671 1
 
< 0.1%
70.36369234 1
 
< 0.1%
165.5066413 1
 
< 0.1%
956.6450032 1
 
< 0.1%
82.24029635 1
 
< 0.1%
405.1234677 1
 
< 0.1%
65.69476085 1
 
< 0.1%
147.1142363 1
 
< 0.1%
66.5010412 1
 
< 0.1%
127.7573018 1
 
< 0.1%
Other values (68619) 68619
> 99.9%
ValueCountFrequency (%)
1.114104156 1
< 0.1%
1.154987029 1
< 0.1%
1.283543482 1
< 0.1%
2.442855502 1
< 0.1%
2.821363113 1
< 0.1%
2.95230648 1
< 0.1%
2.99045449 1
< 0.1%
3.47798095 1
< 0.1%
4.881400432 1
< 0.1%
5.001412051 1
< 0.1%
ValueCountFrequency (%)
183044.2996 1
< 0.1%
107841.1202 1
< 0.1%
59075.98854 1
< 0.1%
55506.47658 1
< 0.1%
54779.16715 1
< 0.1%
52728.83219 1
< 0.1%
50999.60298 1
< 0.1%
48072.64599 1
< 0.1%
47392.06892 1
< 0.1%
45315.42801 1
< 0.1%

std_bid_ask_1
Real number (ℝ)

HIGH CORRELATION 

Distinct68327
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00022039256
Minimum0
Maximum0.0093832603
Zeros230
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2024-07-01T15:01:52.019357image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.0410943 × 10-5
Q17.8949844 × 10-5
median0.00014848559
Q30.00026099553
95-th percentile0.00065080688
Maximum0.0093832603
Range0.0093832603
Interquartile range (IQR)0.00018204568

Descriptive statistics

Standard deviation0.00027691972
Coefficient of variation (CV)1.256484
Kurtosis74.271469
Mean0.00022039256
Median Absolute Deviation (MAD)8.1822298 × 10-5
Skewness5.9833824
Sum15.125321
Variance7.6684532 × 10-8
MonotonicityNot monotonic
2024-07-01T15:01:52.156992image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 230
 
0.3%
0.0001454063604 2
 
< 0.1%
0.0001738467399 2
 
< 0.1%
0.0003787272144 2
 
< 0.1%
0.0001588335726 2
 
< 0.1%
0.0002583151218 2
 
< 0.1%
3.95836214 × 10-52
 
< 0.1%
0.0002736327006 2
 
< 0.1%
0.000127674095 2
 
< 0.1%
0.0001314039109 2
 
< 0.1%
Other values (68317) 68381
99.6%
ValueCountFrequency (%)
0 230
0.3%
2.453922843 × 10-91
 
< 0.1%
2.589063408 × 10-91
 
< 0.1%
2.621409534 × 10-91
 
< 0.1%
2.644528596 × 10-91
 
< 0.1%
2.877827532 × 10-91
 
< 0.1%
3.078000077 × 10-91
 
< 0.1%
3.078265198 × 10-91
 
< 0.1%
3.115931735 × 10-91
 
< 0.1%
3.369080126 × 10-91
 
< 0.1%
ValueCountFrequency (%)
0.009383260272 1
< 0.1%
0.00707322685 1
< 0.1%
0.006086883135 1
< 0.1%
0.006051918957 1
< 0.1%
0.00582780689 1
< 0.1%
0.005559615325 1
< 0.1%
0.005482595414 1
< 0.1%
0.00521986885 1
< 0.1%
0.005218905397 1
< 0.1%
0.005103251431 1
< 0.1%

std_bid_ask_2
Real number (ℝ)

HIGH CORRELATION 

Distinct68372
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00026614732
Minimum0
Maximum0.011801515
Zeros181
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2024-07-01T15:01:52.291886image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.0478645 × 10-5
Q18.5766238 × 10-5
median0.00017762944
Q30.00031646894
95-th percentile0.00080164616
Maximum0.011801515
Range0.011801515
Interquartile range (IQR)0.0002307027

Descriptive statistics

Standard deviation0.00034650503
Coefficient of variation (CV)1.3019294
Kurtosis72.700548
Mean0.00026614732
Median Absolute Deviation (MAD)0.00010532717
Skewness5.9293577
Sum18.265425
Variance1.2006573 × 10-7
MonotonicityNot monotonic
2024-07-01T15:01:52.436111image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 181
 
0.3%
0.0002273371792 2
 
< 0.1%
0.0002787151025 2
 
< 0.1%
0.0001560975652 2
 
< 0.1%
0.0002559462446 2
 
< 0.1%
0.0001664977317 2
 
< 0.1%
8.098981198 × 10-52
 
< 0.1%
0.0006648507551 2
 
< 0.1%
0.0002618611616 2
 
< 0.1%
0.0003887096245 2
 
< 0.1%
Other values (68362) 68430
99.7%
ValueCountFrequency (%)
0 181
0.3%
3.213252109 × 10-91
 
< 0.1%
3.512319546 × 10-91
 
< 0.1%
3.777282043 × 10-91
 
< 0.1%
4.339465232 × 10-91
 
< 0.1%
4.422241684 × 10-91
 
< 0.1%
4.666029785 × 10-91
 
< 0.1%
4.949896493 × 10-91
 
< 0.1%
5.198366626 × 10-91
 
< 0.1%
5.275121229 × 10-91
 
< 0.1%
ValueCountFrequency (%)
0.01180151477 1
< 0.1%
0.008624828421 1
< 0.1%
0.00797169283 1
< 0.1%
0.007560060825 1
< 0.1%
0.006896921899 1
< 0.1%
0.006841860712 1
< 0.1%
0.006411090028 1
< 0.1%
0.006233350374 1
< 0.1%
0.006069145631 1
< 0.1%
0.00605090335 1
< 0.1%

std_wap_1
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct68629
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0011180275
Minimum3.2251537 × 10-5
Maximum0.026884712
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2024-07-01T15:01:52.578821image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum3.2251537 × 10-5
5-th percentile0.00027588591
Q10.00050914007
median0.00081034012
Q30.0013461405
95-th percentile0.0029324731
Maximum0.026884712
Range0.026852461
Interquartile range (IQR)0.00083700039

Descriptive statistics

Standard deviation0.0010798017
Coefficient of variation (CV)0.9658096
Kurtosis43.939661
Mean0.0011180275
Median Absolute Deviation (MAD)0.00036301787
Skewness4.671615
Sum76.729109
Variance1.1659717 × 10-6
MonotonicityNot monotonic
2024-07-01T15:01:52.726098image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0001428339473 1
 
< 0.1%
0.001663834278 1
 
< 0.1%
0.000480087302 1
 
< 0.1%
0.00034522622 1
 
< 0.1%
0.001441953362 1
 
< 0.1%
0.0007911717351 1
 
< 0.1%
0.001130162847 1
 
< 0.1%
0.0006614356307 1
 
< 0.1%
0.0009841898795 1
 
< 0.1%
0.0006798388168 1
 
< 0.1%
Other values (68619) 68619
> 99.9%
ValueCountFrequency (%)
3.225153658 × 10-51
< 0.1%
4.019441891 × 10-51
< 0.1%
4.098262242 × 10-51
< 0.1%
4.365821446 × 10-51
< 0.1%
4.377959025 × 10-51
< 0.1%
4.408292701 × 10-51
< 0.1%
4.460999724 × 10-51
< 0.1%
4.89702469 × 10-51
< 0.1%
4.96008672 × 10-51
< 0.1%
5.116793571 × 10-51
< 0.1%
ValueCountFrequency (%)
0.02688471213 1
< 0.1%
0.02129492519 1
< 0.1%
0.0210587321 1
< 0.1%
0.02020489761 1
< 0.1%
0.02011667307 1
< 0.1%
0.01972932234 1
< 0.1%
0.01958559254 1
< 0.1%
0.0194168779 1
< 0.1%
0.01885035981 1
< 0.1%
0.01844076696 1
< 0.1%

std_wap_2
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct68629
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0011567972
Minimum6.8690999 × 10-6
Maximum0.026957686
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2024-07-01T15:01:52.866971image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum6.8690999 × 10-6
5-th percentile0.00030040918
Q10.00053889766
median0.00084592332
Q30.001387789
95-th percentile0.0029998905
Maximum0.026957686
Range0.026950817
Interquartile range (IQR)0.00084889138

Descriptive statistics

Standard deviation0.001092493
Coefficient of variation (CV)0.94441184
Kurtosis42.735845
Mean0.0011567972
Median Absolute Deviation (MAD)0.00036957256
Skewness4.6059829
Sum79.389834
Variance1.1935409 × 10-6
MonotonicityNot monotonic
2024-07-01T15:01:53.013486image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0001384871529 1
 
< 0.1%
0.001658954812 1
 
< 0.1%
0.0005159114977 1
 
< 0.1%
0.0003452453773 1
 
< 0.1%
0.001389774733 1
 
< 0.1%
0.0008111699159 1
 
< 0.1%
0.001251576113 1
 
< 0.1%
0.0006971317941 1
 
< 0.1%
0.001222773379 1
 
< 0.1%
0.0008138447188 1
 
< 0.1%
Other values (68619) 68619
> 99.9%
ValueCountFrequency (%)
6.86909993 × 10-61
< 0.1%
7.787259252 × 10-61
< 0.1%
8.046192406 × 10-61
< 0.1%
8.618403481 × 10-61
< 0.1%
9.401714781 × 10-61
< 0.1%
1.057944222 × 10-51
< 0.1%
1.294367983 × 10-51
< 0.1%
1.87154009 × 10-51
< 0.1%
2.039605283 × 10-51
< 0.1%
2.253354116 × 10-51
< 0.1%
ValueCountFrequency (%)
0.02695768618 1
< 0.1%
0.02151475161 1
< 0.1%
0.02150547099 1
< 0.1%
0.0210990846 1
< 0.1%
0.02025461909 1
< 0.1%
0.02004491196 1
< 0.1%
0.01969908102 1
< 0.1%
0.01950310681 1
< 0.1%
0.01932782823 1
< 0.1%
0.01801427617 1
< 0.1%

std_volume_overall
Real number (ℝ)

HIGH CORRELATION  SKEWED  UNIQUE 

Distinct68629
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean757.52442
Minimum9.7848305
Maximum240224.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2024-07-01T15:01:53.152846image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum9.7848305
5-th percentile112.76509
Q1164.7975
median236.3944
Q3473.805
95-th percentile2153.3641
Maximum240224.94
Range240215.15
Interquartile range (IQR)309.00751

Descriptive statistics

Standard deviation3108.8881
Coefficient of variation (CV)4.1040104
Kurtosis1166.7418
Mean757.52442
Median Absolute Deviation (MAD)94.012523
Skewness24.504528
Sum51988143
Variance9665185
MonotonicityNot monotonic
2024-07-01T15:01:53.299261image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
236.4480047 1
 
< 0.1%
233.8187074 1
 
< 0.1%
226.9524786 1
 
< 0.1%
1612.85451 1
 
< 0.1%
127.3053403 1
 
< 0.1%
958.8265326 1
 
< 0.1%
133.0818233 1
 
< 0.1%
231.4506875 1
 
< 0.1%
94.08692469 1
 
< 0.1%
183.2717581 1
 
< 0.1%
Other values (68619) 68619
> 99.9%
ValueCountFrequency (%)
9.784830494 1
< 0.1%
22.55182353 1
< 0.1%
35.28402252 1
< 0.1%
37.44122301 1
< 0.1%
42.68875403 1
< 0.1%
45.27474242 1
< 0.1%
45.38536943 1
< 0.1%
45.63738574 1
< 0.1%
46.9097335 1
< 0.1%
47.54930513 1
< 0.1%
ValueCountFrequency (%)
240224.9355 1
< 0.1%
184622.1502 1
< 0.1%
179218.1037 1
< 0.1%
160940.7984 1
< 0.1%
128021.9861 1
< 0.1%
124620.5437 1
< 0.1%
108750.6461 1
< 0.1%
101008.8221 1
< 0.1%
84974.23756 1
< 0.1%
81934.27549 1
< 0.1%

std_volume_difference
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct68629
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean965.49707
Minimum10.28805
Maximum239905.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 MiB
2024-07-01T15:01:53.442109image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Quantile statistics

Minimum10.28805
5-th percentile117.90283
Q1170.83315
median246.68444
Q3511.01894
95-th percentile2655.7687
Maximum239905.86
Range239895.57
Interquartile range (IQR)340.18579

Descriptive statistics

Standard deviation4216.8406
Coefficient of variation (CV)4.3675333
Kurtosis494.54547
Mean965.49707
Median Absolute Deviation (MAD)98.946649
Skewness16.906712
Sum66261098
Variance17781745
MonotonicityNot monotonic
2024-07-01T15:01:53.587537image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
275.1184287 1
 
< 0.1%
222.194673 1
 
< 0.1%
227.9155969 1
 
< 0.1%
1835.072284 1
 
< 0.1%
155.4919711 1
 
< 0.1%
1385.649378 1
 
< 0.1%
157.1746546 1
 
< 0.1%
248.0123152 1
 
< 0.1%
85.06903559 1
 
< 0.1%
217.7196971 1
 
< 0.1%
Other values (68619) 68619
> 99.9%
ValueCountFrequency (%)
10.28804994 1
< 0.1%
24.20539809 1
< 0.1%
37.8157433 1
< 0.1%
38.01920302 1
< 0.1%
38.88958851 1
< 0.1%
41.1934802 1
< 0.1%
43.31906764 1
< 0.1%
45.25227238 1
< 0.1%
46.37722125 1
< 0.1%
46.65670772 1
< 0.1%
ValueCountFrequency (%)
239905.8587 1
< 0.1%
203830.5905 1
< 0.1%
185639.5795 1
< 0.1%
177143.4334 1
< 0.1%
123788.8492 1
< 0.1%
118086.9069 1
< 0.1%
115421.4234 1
< 0.1%
110578.5322 1
< 0.1%
107958.593 1
< 0.1%
107764.125 1
< 0.1%

Interactions

2024-07-01T15:01:46.854669image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:21.298021image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:23.117854image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:24.831864image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:26.447846image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:28.398994image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:30.383456image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:32.546078image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:34.716175image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:36.638665image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:38.498952image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:40.140163image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:41.866111image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:43.656972image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:45.265286image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:46.960688image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:21.413391image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:23.219396image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:24.941441image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:26.552360image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:28.503568image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:30.715605image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:32.669002image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:34.854993image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:36.762504image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:38.606467image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:40.249850image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:41.972848image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:43.765069image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:45.376963image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:47.066419image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:21.529340image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
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2024-07-01T15:01:22.527037image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:24.323463image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:25.922754image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:27.830340image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:29.545030image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:31.725160image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
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2024-07-01T15:01:24.526072image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:26.134411image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:28.043927image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
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2024-07-01T15:01:41.525769image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:43.319685image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
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2024-07-01T15:01:48.338935image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:23.015099image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
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2024-07-01T15:01:26.338812image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:28.296488image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:30.192894image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:32.321444image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:34.580469image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:36.535256image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:38.382430image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:40.032864image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:41.752163image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:43.546878image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:45.154633image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
2024-07-01T15:01:46.750826image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/

Correlations

2024-07-01T15:01:53.694278image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
std_ask_price1std_ask_price2std_ask_size1std_ask_size2std_bid_ask_1std_bid_ask_2std_bid_price1std_bid_price2std_bid_size1std_bid_size2std_volume_differencestd_volume_overallstd_wap_1std_wap_2target_value
std_ask_price11.0000.998-0.029-0.0120.4910.4710.9930.991-0.031-0.0080.0040.0180.9930.9850.696
std_ask_price20.9981.000-0.034-0.0170.4980.4800.9910.989-0.035-0.012-0.0010.0130.9920.9850.699
std_ask_size1-0.029-0.0341.0000.885-0.524-0.539-0.029-0.0330.7440.7340.8900.883-0.058-0.074-0.322
std_ask_size2-0.012-0.0170.8851.000-0.534-0.547-0.011-0.0150.7300.7470.9000.899-0.043-0.059-0.305
std_bid_ask_10.4910.498-0.524-0.5341.0000.9850.4910.497-0.527-0.538-0.538-0.5150.5250.5530.735
std_bid_ask_20.4710.480-0.539-0.5470.9851.0000.4720.480-0.541-0.551-0.554-0.5300.5050.5340.715
std_bid_price10.9930.991-0.029-0.0110.4910.4721.0000.998-0.034-0.0100.0030.0170.9930.9850.696
std_bid_price20.9910.989-0.033-0.0150.4970.4800.9981.000-0.038-0.014-0.0010.0130.9920.9850.698
std_bid_size1-0.031-0.0350.7440.730-0.527-0.541-0.034-0.0381.0000.8870.8820.875-0.061-0.077-0.327
std_bid_size2-0.008-0.0120.7340.747-0.538-0.551-0.010-0.0140.8871.0000.8910.890-0.040-0.056-0.306
std_volume_difference0.004-0.0010.8900.900-0.538-0.5540.003-0.0010.8820.8911.0000.975-0.028-0.046-0.306
std_volume_overall0.0180.0130.8830.899-0.515-0.5300.0170.0130.8750.8900.9751.000-0.014-0.033-0.287
std_wap_10.9930.992-0.058-0.0430.5250.5050.9930.992-0.061-0.040-0.028-0.0141.0000.9920.720
std_wap_20.9850.985-0.074-0.0590.5530.5340.9850.985-0.077-0.056-0.046-0.0330.9921.0000.737
target_value0.6960.699-0.322-0.3050.7350.7150.6960.698-0.327-0.306-0.306-0.2870.7200.7371.000

Missing values

2024-07-01T15:01:48.602052image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
A simple visualization of nullity by column.
2024-07-01T15:01:48.888010image/svg+xmlMatplotlib v3.8.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

target_valuestd_bid_price1std_ask_price1std_bid_price2std_ask_price2std_bid_size1std_ask_size1std_bid_size2std_ask_size2std_bid_ask_1std_bid_ask_2std_wap_1std_wap_2std_volume_overallstd_volume_difference
1813340.0013810.0001370.0001400.0001370.000139147.259528110.693816134.206990107.1368670.0000740.0000760.0001430.000138236.448005275.118429
590800.0071880.0007250.0007680.0007140.00072781.630077105.28604578.219925112.6517170.0002580.0002430.0008850.000870197.943576167.809010
674720.0032070.0004190.0004220.0004420.00045856.63505858.16456559.88429151.7005320.0002440.0004090.0005200.000573100.146834102.802521
3871870.0037430.0007710.0007570.0007820.00077661.97147972.52631277.35376472.0434180.0001980.0002350.0007560.000778132.703140144.167200
1928460.0038290.0005560.0005240.0005590.00051760.026491148.02286570.482410172.8306790.0001140.0001220.0005370.000579260.591242258.553707
4146410.0026700.0009600.0009420.0009630.000942134.606449138.486980133.938274162.3578940.0000910.0000970.0009490.000952251.539949321.936901
750660.0013990.0004620.0004540.0004610.000447139.986810140.093534262.067112123.8786320.0000580.0000710.0004620.000461331.812867363.446559
1515890.0030270.0006530.0006660.0006500.00066487.585445179.75590768.103887151.6720270.0001550.0001650.0006500.000699289.518024308.005643
1092450.0053400.0027000.0026930.0027000.0026938863.8078586361.0764286313.1824203834.7007520.0000850.0000850.0026580.00278811229.34971014347.368549
3576730.0018070.0006750.0006750.0006750.000675461.672487341.549069336.082616245.8380850.0000290.0000290.0006870.000683478.775572985.302694
target_valuestd_bid_price1std_ask_price1std_bid_price2std_ask_price2std_bid_size1std_ask_size1std_bid_size2std_ask_size2std_bid_ask_1std_bid_ask_2std_wap_1std_wap_2std_volume_overallstd_volume_difference
2355940.0017500.0012400.0012340.0012400.001234107.362724122.317363115.353214158.4565620.0000270.0000270.0012370.001235237.656468261.908591
620820.0069380.0011360.0012470.0011310.001257123.475271113.36116582.660506100.1396240.0002500.0003340.0012020.001172210.497884214.719228
16890.0056530.0018130.0018800.0017300.00190483.00180763.16215943.31059255.4510680.0005680.0009330.0020120.002147127.487851137.982075
1279480.0052730.0014920.0015350.0015010.00154369.617310205.91278774.762681249.2631070.0002590.0002900.0015130.001544343.407575349.242252
3323220.0030580.0006760.0006270.0007180.00073172.47248945.36565150.38316256.9050210.0003370.0005100.0007290.000749105.004056126.128997
1492260.0017540.0003980.0004000.0003980.000400745.453173727.511422931.5879111040.8374570.0000410.0000410.0003960.0004081652.5611101705.833974
3858330.0039280.0004980.0004870.0004990.00047434.39490453.74258432.01974445.8364370.0000890.0000970.0004880.00047195.00997596.583526
1794010.0015210.0010050.0010310.0010050.001031163.867278299.879980164.454911232.4018670.0000900.0000900.0010150.001021413.912754475.588194
3229240.0024830.0003190.0003020.0003180.00030389.78851371.639544127.58440760.8714940.0000750.0000810.0003320.000342176.198413176.011435
3843220.0031370.0003560.0003320.0003630.00032159.37761345.15585864.22467652.8529030.0000800.0001120.0003360.000353112.308848103.206510